7 مستودعات
Routing a signal through multiple filters or effects simultaneously and blending the outputs.
Distinct from Effects Processing: Focuses on parallel audio filtering rather than sequential effects processing or database filtering.
Explore 7 awesome GitHub repositories matching graphics & multimedia · Parallel Signal Processing. Refine with filters or upvote what's useful.
LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It functions as a comprehensive production environment that integrates a MIDI sequencer, a sample-based synthesizer, and an audio mixing console. The project distinguishes itself through a versatile synthesis engine that includes additive synthesis, wavetable generation, and emulations of vintage hardware such as NES audio and FM chips. It also serves as a VST plugin host, allowing for the integration of third-party virtual instruments and audio effects via a standardized interface. Be
Processes two different filters simultaneously on a single audio signal to blend their sonic characteristics.
Combines multiple effect chains in parallel and mixes their outputs for layered transformations.
BespokeSynth is a modular synthesizer environment that combines a node-based audio graph routing system with a live scripting bridge, enabling real-time patching and control without recompilation. Its architecture integrates a granular synthesis engine, FFT-based spectral processing, a MIDI Polyphonic Expression pipeline, and a Euclidean rhythm generator, all within a freeform workspace designed for live experimentation. The project distinguishes itself through its live coding capabilities, allowing Python scripts to create, modify, and control synthesis parameters at runtime, and its plugin
Implements a feedback loop module that feeds a delayed audio copy back into the processing chain.
Surge هو مركب برمجيات متعدد الأصوات (polyphonic synthesizer) وإضافة VST مصممة لتوليد الصوت المعقد. يعمل كمحرك توليف هجين، يجمع بين تقنيات التوليف الطرحي، والجدول الموجي، وتعديل التردد، والنمذجة الفيزيائية لإنتاج الصوت. يتميز المشروع بإمكانات ضبط دقيق واسعة النطاق (microtuning)، حيث يدعم السلالم الموسيقية غير القياسية والتنغيم عبر ملفات ضبط متوافقة مع معايير الصناعة. كما يتميز ببنية متوافقة مع Open Sound Control لإدارة المعلمات عن بُعد ومزامنة الأجهزة. يغطي النظام مجموعة واسعة من إمكانات هندسة الصوت، بما في ذلك توجيه الإشارة النمطية، وتعديل الصوت المتقدم مع مغلفات متعددة الأجزاء، ومعالجة الصوت الرقمي عبر سلاسل التأثيرات. يوفر أدوات لتحليل الصوت في الوقت الفعلي، وتعيين وحدة تحكم MIDI، وطبقات من حالات التوليف المستقلة. يتضمن المركب متصفح تصحيحات (patch browser) قائماً على الفئات لتنظيم والبحث عن إعدادات الصوت المسبقة.
Processes audio signals through various filter types with configurable routing and recursive feedback loops.
This project is a reference implementation and framework for building real-time communication systems. It provides an Android demo application for WebRTC video, audio, and data transmission, alongside a communication SDK for integrating instant messaging, VoIP, and multi-party video conferencing into mobile and web applications. The framework includes a P2P media streaming client for direct high-definition transmission between devices and an interactive whiteboard application that synchronizes drawing and screen sharing across connected users. It also provides a foundation for IM and VoIP sys
Filters audio input to remove feedback and noise for clear voice communication during real-time calls.
This project is a set of digital signal processing routines and firmware designed for building modular synthesis hardware and control voltage modules. It functions as a comprehensive system for Eurorack synthesis, incorporating a physical modeling synthesis engine, a granular synthesis module, and a dedicated control voltage processor. The system distinguishes itself through a specialized synthesis engine that simulates the acoustic properties of strings, reeds, and percussion using modal resonators. It also features a MIDI to CV converter for monophonic and polyphonic operation and a step se
Applies all-pass filters and blending effects including reverb and random panning to post-process granular signals.
This project is a comprehensive toolkit for on-device speech recognition, synthesis, and audio processing, specifically engineered for Apple Silicon. It provides a framework for building real-time, full-duplex voice agents that operate entirely offline, leveraging native hardware acceleration to maintain performance and privacy. By utilizing optimized machine learning models, the library enables local execution of complex audio tasks without reliance on external cloud services. The library distinguishes itself through its specialized focus on local, high-performance voice interaction. It incl
Coordinates speech synthesis and recognition timing to prevent the system from capturing its own output as new input.